1. Review of Previous Topics
2. Brain and Computers
- Human Nervous System (CNS/PNS)
- Introduction to how humans collect input through senses, process it, and respond.
- Procedural Logic vs. AI Programs
- Understanding the difference between traditional computer programs and AI programs.
3. Applications of AI
- Education
- The role of AI in enhancing learning experiences.
- Robots
- Exploring how robots use AI to perform tasks.
- Self-driving Cars
- Understanding how AI enables cars to drive themselves.
- Healthcare
- Learning about AI’s role in medicine and improving patient care and inclusive access.
4. AI for Social Good
- Real-time Translation
- Learning that AI can instantly translate languages to connect people globally.
- Healthcare Advancements
- Discovering how AI contributes to disease detection, drug discovery, and inclusive healthcare.
5. Types of Problems AI Needs to Solve
- Classification
- Sorting items into different categories.
- Clustering
- Grouping similar data points without predefined categories.
- Recommendation
- Suggesting products or content based on user preferences.
- Prediction
- Using data to forecast future events.
- Generation
- Creating new content like text, images, or music.
6. Understanding of Data Types
- Text
- Understanding that AI can process and understand written words.
- Images
- Learning that AI can analyze pictures by interpreting pixels.